Ryan C. Johnson, PhD

Assistant Professor
The University of Utah, Utah, United States

Dr. Ryan Johnson expands on Hydrological and Water Resources Management research at the University of Utah, leveraging the power of open-source software, an abundance of hydrological data, and machine learning to advance the skill of hydrological predictions. He is currently working on three key research efforts: 1) applying deep neural networks to advance the modeling of heterogeneous snow distribution in the Western US, 2) exploring multiple ML algorithms, including LSTMs, to extend the forecasting horizon of the National Water Model to a season-to-season resolution to support water supply forecasting, and 3) developing low-cost low-power snow monitoring systems to characterize catchment snow distribution within key water supply catchments. When not deep into Python, Dr. Johnson can be found exploring mountains with his mountain bike and fly rod in the summer or digging snow pits and skiing in the winter

Disclosure information not submitted.

Presentation(s):

• Multi-Model Predictions of Design Low Flow Conditions in the Great Salt Lake Basin Using NextGen Water Resources Modeling Framework

  Monday, May 19, 2025
  2:00 PM – 2:15 PM Alaska Daylight Time (AKDT)

• High-Resolution Snow Mapping with Machine Learning: Pioneering Products to Revolutionize Season-to-Season Water Supply Forecasting.

  Tuesday, May 20, 2025
  8:30 AM – 8:45 AM Alaska Daylight Time (AKDT)